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Kazan (Volga region) Federal University, KFU
KAZAN
FEDERAL UNIVERSITY
 
THE COMPARATIVE ANALYSIS OF THE EFFICIENCY OF VARIOUS MACHINE LEARNING MODELS IN FORECASTING THE TAJIK SOMONI EXCHANGE RATE
Form of presentationArticles in international journals and collections
Year of publication2025
Языканглийский
    Authors, employees of KFU
  • Arabov Mullosharaf Kurbonovich, author
    • Bibliographic description in the original language Khabibullozoda, K. Kh. The comparative analysis of the efficiency of various machine learning models in forecasting the Tajik somoni exchange rate / K. Kh. Khabibullozoda, M. K. Arabov, N. S. Shirinov // Science and Innovation. Series of Geological and Technical Sciences. – 2025. – No. 2. – P. 119-130. – EDN LSQKMM.
    Annotation Science and Innovation. Series of Geological and Technical Sciences
    Keywords ИНФОРМАЦИОННАЯ МОДЕЛЬ, ГОРОДСКАЯ ТЕРРИТОРИЯ, АЛГОРИТМ РАЗБИЕНИЯ, ТЕОРИЯ ГРАФОВ, СЕГМЕНТ
    The name of the journal Science and Innovation. Series of Geological and Technical Sciences
    Please use this ID to quote from or refer to the card https://repository.kpfu.ru/eng/?p_id=317858&p_lang=2

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